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Comparative Analysis of Electricity Consumption at Home through a Silhouette-score prospective

Choi, H.W.; Muhammad Faseeh Qureshi, N.; Shin, D.R.

ArticleIssue Date2019CitationInternational Conference on Advanced Communication Technology, ICACT, v.2019-February, pp 589 - 591PublisherInstitute of Electrical and Electronics Engineers Inc.

SCOPUS

Analysis of Electricity Consumption at Home Using K-means Clustering Algorithm

Choi, H.W.; Qureshi, N.M.F.; Shin, D.R.

ArticleIssue Date2019CitationInternational Conference on Advanced Communication Technology, ICACT, v.2019-February, pp 639 - 643PublisherInstitute of Electrical and Electronics Engineers Inc.

SCIESSCISCOPUSKCI

Review of Machine Learning Algorithms for Diagnosing Mental Illness open access

Cho, Gyeongcheol; Yim, Jinyeong; Choi, Younyoung; Ko, Jungmin; Lee, Seoung-Hwan

ArticleIssue Date2019CitationPSYCHIATRY INVESTIGATION, v.16, no.4, pp 262 - 269PublisherKOREAN NEUROPSYCHIATRIC ASSOC

Comparative Analysis of Electricity Consumption at Home through a Silhouette-score prospective

Choi, Hyun Wong; Qureshi, Nawab Muhammad Faseeh; Shin, Dong Ryeol

ArticleIssue Date2019Citation2019 21ST INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ICT FOR 4TH INDUSTRIAL REVOLUTION, pp 589 - 591PublisherIEEE

Analysis of Electricity Consumption at Home Using K-means Clustering Algorithm

Choi, Hyun Wong; Qureshi, Nawab Muhammad Faseeh; Shin, Dong Ryeol

ArticleIssue Date2019Citation2019 21ST INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ICT FOR 4TH INDUSTRIAL REVOLUTION, pp 639 - 643PublisherIEEE

SCIESCOPUS

Uncertainty Analysis on Electric Power Consumption

Han, O[Han, Oakyoung]; Kim, J[Kim, Jaehyoun]

ArticleIssue Date2021CitationCMC-COMPUTERS MATERIALS & CONTINUA, v.68, no.2, pp.2621 - 2632PublisherTECH SCIENCE PRESS

SCIESSCISCOPUS

Predictors of suicide ideation among South Korean adolescents: A machine learning approach

Donnelly, H.K.[Donnelly, H.K.]; Han, Y.[Han, Y.]; Kim, S.[Kim, S.]; Lee, D.H.[Lee, D.H.]

ArticleIssue Date2023CitationJournal of Affective Disorders, v.329, pp.557 - 565PublisherElsevier B.V.

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Big data Predictive Analytics for Apache Spark using Machine Learning

Junaid, M.[Junaid, M.]; Wagan, S.A.[Wagan, S.A.]; Qureshi, N.M.F.[Qureshi, N.M.F.]; Nam, C.S.[Nam, C.S.]; Shin, D.R.[Shin, D.R.]

ArticleIssue Date2020Citation2020 Global Conference on Wireless and Optical Technologies, GCWOT 2020PublisherInstitute of Electrical and Electronics Engineers Inc.

SCIESCOPUS

IIFNet: A Fusion-Based Intelligent Service for Noisy Preamble Detection in 6G

Khowaja, Sunder Ali; Dev, Kapal; Khuwaja, Parus; Pham, Quoc-Viet; Qureshi, Nawab Muhammad Faseeh; Bellavista, Paolo; Magarini, Maurizio

ArticleIssue Date2022CitationIEEE NETWORK, v.36, no.3, pp 48 - 54PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

SCIESCOPUS

Internet of medical things and trending converged technologies: A comprehensive review on real-time applications open access

Wagan, S.A.[Wagan, S.A.]; Koo, J.[Koo, J.]; Siddiqui, I.F.[Siddiqui, I.F.]; Attique, M.[Attique, M.]; Shin, D.R.[Shin, D.R.]; Qureshi, N.M.F.[Qureshi, N.M.F.]

ArticleIssue Date2022CitationJournal of King Saud University - Computer and Information Sciences, v.34, no.10, pp.9228 - 9251PublisherKing Saud bin Abdulaziz University

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